Relations between and among contaminant concentrations and biomarkers in black bass (Micropterus spp.) and common carp (Cyprinus carpio) from large US rivers, 1995-2004
Relations between and among contaminant concentrations and biomarkers in black bass (Micropterus spp.) and common carp (Cyprinus carpio) from large US rivers, 1995-2004
复制标题
DOI：
10.1039/b811011e
复制
发表时间：
2008-01-01
影响因子：
--
通讯作者：
Tillitt, Donald E.
中科院分区：
文献类型：
--
作者：
Hinck, Jo Ellen;Schmitt, Christopher J.;Tillitt, Donald E.
环境污染物和生物标志物监测数据主要来自美国。S.河流流域的黑鲈鱼（Micropterus spp.）和普通鲤鱼（Cyprinus carpio），采样时间超过9年。累积频率分布揭示了许多有机氯残留物浓度，元素污染物浓度和生物标志物的类群差异，但很少有性别差异是明显的化学浓度。浓度的dacthal，五氯苯甲醚，p，p '-DDE，硫丹硫酸盐，钡，镉，铜，锰，铅，硒，钒，锌在鲤鱼比低音，但汞和镁的浓度更大的低音。性别差异是明显的汞在低音和鲤鱼的锌，但差异较小的分类群差异相比。更大的卵黄蛋白原浓度，17 β-雌二醇浓度，17 β-雌二醇/11-酮睾酮的比例，和百分比卵母细胞闭锁的女性鲤鱼相比，女性低音可能与顺序产卵的鲤鱼。回归分析表明，多达78%的生物标志物的变化是由化学污染物浓度解释。在化学污染物主成分分析（PCA）模型中，站点始终按流域分组，并由汞、镁、钡、灭蚁灵和氯氧磷驱动。PCA模型的生物标志物没有分组的网站盆地无论是低音或鲤鱼。统计分析和数据解释受到研究设计的限制。这些限制的影响进行了讨论。在规划今后的监测研究时应考虑的建议包括：考虑到具有适当灵敏度的分析方法，排除对某些化学污染物进行性别和物种特定的取样;以及随着方法和信息需求的发展，允许增加新的化学和生物变量。
Environmental contaminant and biomarker monitoring data from major U. S. river basins were summarized for black bass (Micropterus spp.) and common carp (Cyprinus carpio) sampled over a nine year period. Cumulative frequency distributions revealed taxon differences for many organochlorine residue concentrations, elemental contaminant concentrations, and biomarkers, but few gender differences were evident for chemical concentrations. Concentrations of dacthal, pentachloroanisole, p, p'-DDE, endosulfan sulfate, barium, cadmium, copper, manganese, lead, selenium, vanadium, and zinc were greater in carp than bass, but concentrations of mercury and magnesium were greater in bass. Gender differences were evident in bass for mercury and in carp for zinc, but the differences were small compared to taxon differences. Greater vitellogenin concentrations, 17 beta-estradiol concentrations, 17 beta-estradiol/11-ketotestosterone ratios, and percent oocyte atresia in female carp compared to female bass may be related to the sequential spawning of carp. Regression analyses indicated that as much as 78% of biomarker variation was explained by chemical contaminant concentrations. Sites grouped consistently by river basin in the chemical contaminant principal components analysis (PCA) models and were driven by mercury, magnesium, barium, mirex, and oxychlordane. PCA models for the biomarkers did not group the sites by basin for either bass or carp. Statistical analyses and data interpretation were limited by the study design. The implications of these limitations are discussed. Recommendations to be considered during the planning of future monitoring studies include the exclusion of gender- and species-specific sampling for certain chemical contaminants considering analytical methods with appropriate sensitivities; and allowing for the addition of new chemical and biological variables as methods and information needs evolve.